Participants

@jamey_sharp
@stagedtheology
@tklee
@galgeek
@edrex

Raw Data

...is what this repository contains.

Also here's the proposal json converted to a spreadsheet: https://docs.google.com/spreadsheets/d/1XZfB3b9_TfQ855yhBCEFHxtTeI9AX00rvj74py-vRp0/edit?usp=sharing

Questions

Can we find like-minded people based on favorites?
Can we generate BOF sessions in advance?
Can we design a schedule to minimize conflicts among sessions?
- Cost assignment (based on timestamp?)
- HARD CONFLICTS: Speaker can't appear in multiple locations
Can we optimize room size based on favorites?
Do favorites predict attendance?
Do clickthroughs on description predict attendance? (We don't have data, but maybe!)
Can we (from full text description) predict:
- level?
- attendance?
- # of favorites?
- track?
- which talks will be accepted?

Tools

cplex
linear programming: AMPL
http://www.neos-server.org/neos/solvers/ <- web interface to solve LP/NLP/MILP directly
ibm ilog studio
coin or (repository)
informs
SMT solvers (e.g., solve sudoku puzzle based on initial values)
Bayes' theorem!
Tabu search: https://en.wikipedia.org/wiki/Tabu_search